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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 109
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping
Paper 11

Time-Cost Optimization of Construction Projects: A Genetic Algorithm-Based Approach

J. Magalhães-Mendes

Civil Engineering Department and CIDEM, School of Engineering, Polytechnic of Porto, Portugal

Full Bibliographic Reference for this paper
J. Magalhães-Mendes, "Time-Cost Optimization of Construction Projects: A Genetic Algorithm-Based Approach", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 11, 2015. doi:10.4203/ccp.109.11
Keywords: construction management, project management, multi-objective optimization, time-cost optimization, evolutionary methods, genetic algorithms.

Summary
Time and cost are among the important aspects considered for every construction project. Construction projects are found throughout business and areas such as manufacturing facilities, infrastructure development and improvement, and residential and commercial building. Trade off optimization among project duration (time) and project cost is necessary to enhance overall construction project benefit. A new genetic algorithm based-approach to solving the time-cost optimization problem has been proposed. This approach combines a genetic algorithm, a schedule generation scheme and a local search with a new objective function. The chromosome representation of the problem is based on random keys. The schedules are constructed using a priority rule in which the priorities are defined by the genetic algorithm. Schedules are constructed using a procedure that generates parameterized active schedules. The present approach provides an attractive alternative for the solution of the construction multi-objective optimization problems.

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